Mango Leaf Disease Detection Intelligent System based on Image-based Deep Learning

DOI

10.2991/978-94-6239-789-7_3How to use a DOI?

Keywords

Precision Agriculture; Deep Learning; Image Processing; GUI; Leaf Disease Detection; Mango

Abstract

The mango (Mangifera indica) is a key fruit crop which is commonly grown in tropical and subtropical areas. Nevertheless, production of mango is also usually influenced by a number of leaf diseases which are attributed to fungal, bacterial and environmental factors. These illnesses decrease quality of crops, yield and economic value. The conventional disease detection systems are based on human eye optical surveillance, which is costly, energy-consuming and susceptible to human mistakes hence cannot be used to monitor a vast size of the population. To overcome these shortcomings, this paper presents a mango leaf disease detection system with automated mechanisms based on the image processing method and deep learning. Images of healthy mango leaves and diseased mango leaves (Anthracnose, Powdery Mildew, Red Rust, Bacterial Canker, Gall Midge, and Dieback) were used to train a Convolutional Neural Network (CNN) model. Preprocessing and augmentation of data was done to enhance the performance of models. The level of accuracy in the proposed model stood at 94.7, which was higher than the conventional machine learning techniques. Also, a visual user interface (GUI) was created, which is lightweight and offers real-time detection and treatment suggestions of the disease, and is essential to timely interventions and long-term sustainable mango agriculture.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sohrab Ali
AU  - Sameer Dev Sharma
PY  - 2026
DA  - 2026/10/08
TI  - Mango Leaf Disease Detection Intelligent System based on Image-based Deep Learning
BT  - Proceedings of theInternational Conference on Innovation and Practices in Artificial Intelligence (ICIPAI 2026)
PB  - Atlantis Press
SP  - 18
EP  - 32
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-789-7_3
DO  - 10.2991/978-94-6239-789-7_3
ID  - Ali2026
ER  -